LEADER 03046pam 2200733 a 450 001 996248021903316 005 20230829001633.0 010 $a0-674-92975-6 024 7 $a2027/heb01731 035 $a(CKB)2560000000325987 035 $a(MH)001551086-7 035 $a(SSID)ssj0001335344 035 $a(PQKBManifestationID)12507809 035 $a(PQKBTitleCode)TC0001335344 035 $a(PQKBWorkID)11272836 035 $a(PQKB)11660139 035 $a(dli)HEB01731 035 $a(MiU)MIU01000000000000012921457 035 $a(EXLCZ)992560000000325987 100 $a19880323d1988 uy 0 101 0 $aeng 135 $aurmnummmmuuuu 181 $ctxt 182 $cc 183 $acr 200 14$aThe unmasterable past $ehistory, holocaust, and German national identity /$fCharles S. Maier 210 0 $aCambridge, Mass. $cHarvard University Press$d1988 215 $a1 online resource (xi, 227 p. ) 300 $aIncludes index. 311 $a0-674-92977-2 320 $aBibliography: p. [175]-217. 327 $a1. The stakes of the controversy -- 2. Habermas among the historians -- 3. A holocaust like the others? Problems of comparative history -- 4. German history as case history -- 5. A usable past? Museums, memory, and identity -- Epilogue: Whose holocaust? Whose history? 330 $aAmidst a Society seeking to forget the atrocities of the past, an ongoing debate rages as to the role that should be given to historical study of the Holocaust. Maier presents an objective study of German efforts to deal with ... 330 $aThe tragic lessons of the past. for advanced students of the Holocaust and adult readers. 517 $aUnmasterable Past 606 $aHolocaust, Jewish (1939-1945)$xHistoriography 606 $aHistorians$zGermany 606 $aHistorians$zGermany (West) 606 $aHolocaust, Jewish (1939-1945)$xHistoriography$zGermany 606 $aHistorians$xHistoriography 606 $aNational socialism 606 $aRegions & Countries - Europe$2HILCC 606 $aHistory & Archaeology$2HILCC 606 $aGermany$2HILCC 607 $aGermany$xHistory$y20th century$xHistoriography 615 0$aHolocaust, Jewish (1939-1945)$xHistoriography. 615 0$aHistorians 615 0$aHistorians 615 0$aHolocaust, Jewish (1939-1945)$xHistoriography 615 0$aHistorians$xHistoriography 615 0$aNational socialism 615 7$aRegions & Countries - Europe 615 7$aHistory & Archaeology 615 7$aGermany 676 $a940.53/15/03924 700 $aMaier$b Charles S.$f1939-$0133312 801 0$bDLC 801 1$bDLC 801 2$bHLS 906 $aBOOK 912 $a996248021903316 996 $aThe unmasterable past$92396930 997 $aUNISA 999 $aThis Record contains information from the Harvard Library Bibliographic Dataset, which is provided by the Harvard Library under its Bibliographic Dataset Use Terms and includes data made available by, among others the Library of Congress LEADER 04965nam 22006255 450 001 9910743695503321 005 20230901211843.0 010 $a3-031-38281-1 024 7 $a10.1007/978-3-031-38281-9 035 $a(MiAaPQ)EBC30727089 035 $a(Au-PeEL)EBL30727089 035 $a(DE-He213)978-3-031-38281-9 035 $a(PPN)272735051 035 $a(CKB)28141355800041 035 $a(EXLCZ)9928141355800041 100 $a20230901d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEnabling Person-Centric Healthcare Using Ambient Assistive Technology $ePersonalized and Patient-Centric Healthcare Services in AAT /$fedited by Paolo Barsocchi, Naga Srinivasu Parvathaneni, Amik Garg, Akash Kumar Bhoi, Filippo Palumbo 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (322 pages) 225 1 $aStudies in Computational Intelligence,$x1860-9503 ;$v1108 311 08$aPrint version: Barsocchi, Paolo Enabling Person-Centric Healthcare Using Ambient Assistive Technology Cham : Springer International Publishing AG,c2023 9783031382802 327 $aSensor Datasets for Human Daily Safety and Well-being -- Habitpad: A Habit-Change Person-Centric Healthcare Mobile Application with Machine Leaning and Gamification Features for Obesity -- Human centered Mathematics: a framework for medical applications based on Extended Reality and Artificial Intelligence -- Attentive Vision-Based Model for Sarcopenia Screening by Automating Timed Up-and-Go (TUG) Test -- AAL with Deep Learning to classify the Diseases remotely from the image data -- Heart Failure Prediction Using Radial Basis with Metaheuristic Optimization -- Healthcare Management And Prediction Of Future Illness Through Autonomous Intelligent Advisory System Using Aat Computational Framework -- ResNet-50-CNN and LSTM based Arrhythmia detection model based on ECG dataset -- A Review of Brain-Computer Interface (BCI) System: Advancement and Applications -- Optimized TSA ResNet architecture with TSH -discriminatory features for kidney stone classification from QUS Images -- Ambient Healthcare: A new Paradigm in Medical Zone -- Illuminating Unexplored Corners in Healthcare Space using Ambience Intelligence -- Depression Assessment in Youths using an Enhanced Deep Learning Approach -- Telemedicine Enabled Remote Digital Healthcare System. 330 $aThis book experiences the future of patient-centered healthcare and dives into the latest advancements and transformative technologies that are revolutionizing the well-being of individuals around the globe. The readers can join authors on an engaging journey as the authors explore the captivating realm of ambient assisted living and unlock its immense potential for improving healthcare outcomes. This book goes beyond mere exploration; it invites readers to embark on a voyage of discovery as authors unveil the outcomes of groundbreaking research ideas. With a diverse range of applications, from deep learning in healthcare to cutting-edge models, the authors offer a comprehensive view of the opportunities and challenges that lie ahead. Whether you're a healthcare professional, an academic seeking the latest insights, or a researcher delving into the realms of ambient assistive technology, biomedical engineering, or computational intelligence, this book is an invaluable resource. Additionally, postgraduate students pursuing data engineering systems find it to be an essential guide. Each chapter stands independently, providing a comprehensive overview of problem formulation and its tangible outcomes. The readers can immerse themselves in the world of patient-centered healthcare today and become part of the forefront of innovation. 410 0$aStudies in Computational Intelligence,$x1860-9503 ;$v1108 606 $aComputational intelligence 606 $aBiomedical engineering 606 $aArtificial intelligence 606 $aComputational Intelligence 606 $aBiomedical Engineering and Bioengineering 606 $aArtificial Intelligence 615 0$aComputational intelligence. 615 0$aBiomedical engineering. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aBiomedical Engineering and Bioengineering. 615 24$aArtificial Intelligence. 676 $a610.285 700 $aBarsocchi$b Paolo$01426796 701 $aParvathaneni$b Naga Srinivasu$01426797 701 $aGarg$b Amik$01426798 701 $aBhoi$b Akash Kumar$01426799 701 $aPalumbo$b Filippo$0263330 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910743695503321 996 $aEnabling Person-Centric Healthcare Using Ambient Assistive Technology$93559171 997 $aUNINA